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Relationship: 2567

Title

A descriptive phrase which clearly defines the two KEs being considered and the sequential relationship between them (i.e., which is upstream, and which is downstream). More help

Increase, Mt Dysfunction leads to Increase, Cytotoxicity (renal tubular cell)

Upstream event
The causing Key Event (KE) in a Key Event Relationship (KER). More help
Downstream event
The responding Key Event (KE) in a Key Event Relationship (KER). More help

Key Event Relationship Overview

The utility of AOPs for regulatory application is defined, to a large extent, by the confidence and precision with which they facilitate extrapolation of data measured at low levels of biological organisation to predicted outcomes at higher levels of organisation and the extent to which they can link biological effect measurements to their specific causes.Within the AOP framework, the predictive relationships that facilitate extrapolation are represented by the KERs. Consequently, the overall WoE for an AOP is a reflection in part, of the level of confidence in the underlying series of KERs it encompasses. Therefore, describing the KERs in an AOP involves assembling and organising the types of information and evidence that defines the scientific basis for inferring the probable change in, or state of, a downstream KE from the known or measured state of an upstream KE. More help

AOPs Referencing Relationship

AOP Name Adjacency Weight of Evidence Quantitative Understanding Point of Contact Author Status OECD Status
Inhibition of mitochondrial electron transport chain (ETC) complexes leading to kidney toxicity adjacent Not Specified Not Specified Agnes Aggy (send email) Under development: Not open for comment. Do not cite Under Development

Taxonomic Applicability

Latin or common names of a species or broader taxonomic grouping (e.g., class, order, family) that help to define the biological applicability domain of the KER.In general, this will be dictated by the more restrictive of the two KEs being linked together by the KER.  More help

Sex Applicability

An indication of the the relevant sex for this KER. More help

Life Stage Applicability

An indication of the the relevant life stage(s) for this KER.  More help

Key Event Relationship Description

Provides a concise overview of the information given below as well as addressing details that aren’t inherent in the description of the KEs themselves. More help

Mitochondria are an essential organelle in ROS production, ATP production, and have a crucial role in regulating both apoptotic and necrotic death (Bhatia, Capili, and Choi, 2020; Wang et al., 2016; Gao et al., 2019). This is particularly notable for renal tubular cells due to their high energy demands for filtration (Cohen, 1986). When mitochondria are damaged and their membrane potential is dissipated, the mitochondrial permeability transition pore (mPTP) is opened and they release cytochrome c (Cyt c), pro-apoptotic caspases, and apoptosis-inducing factor (AIF) (Mao et al., 2010; Galluzzi et al., 2018; Garrido et al., 2006). Cyt c is a protein that triggers apoptosis or necrosis by allosterically activating apoptosis-protease activating factor 1 (APAF 1) (Mao et al., 2010; Galluzzi et al., 2018; Garrido et al., 2006). APAF 1 is then able to cleave caspases 9 and 3, which lead to the induction of a caspase cascade that triggers apoptosis (Mao et al., 2010; Galluzzi et al., 2018; Garrido et al., 2006). Caspase-independent apoptosis is also triggered by the opening of the mPTP, causing the release of AIF which triggers DNA condensation into chromosomes and  degradation in a characteristic manner (Sevrioukova, 2011). Mitochondrial dysfunction therefore leads to not only further oxidative stress, but also to cell death (Bhatia, Capili, and Choi, 2020; Wang et al., 2016; Zhan et al., 2013).

Evidence Collection Strategy

Include a description of the approach for identification and assembly of the evidence base for the KER. For evidence identification, include, for example, a description of the sources and dates of information consulted including expert knowledge, databases searched and associated search terms/strings.  Include also a description of study screening criteria and methodology, study quality assessment considerations, the data extraction strategy and links to any repositories/databases of relevant references.Tabular summaries and links to relevant supporting documentation are encouraged, wherever possible. More help

Evidence Map 2.0

ID Experimental Design Species Upstream Observation Downstream Observation Citation (first author, year) Notes

Evidence Map

Addresses the scientific evidence supporting KERs in an AOP setting the stage for overall assessment of the AOP. More help
Title First Author
Biological Plausibility
Dose Concordance
Temporal Concordance
Incidence Concordance
Biological Plausibility
Dose Concordance Evidence
Temporal Concordance Evidence
Incidence Concordance Evidence
Uncertainties and Inconsistencies
Addresses inconsistencies or uncertainties in the relationship including the identification of experimental details that may explain apparent deviations from the expected patterns of concordance. More help
  1. In an article studying the nephrotoxic effects of cisplatin treatment in rat kidneys, they found that treatment with 10 mg/kg bodyweight of cisplatin for 72 hours caused only a 0.3-fold decrease in the level of ATP content in the cell but induced a 1.8-fold increase in the level of executioner caspase-3 activity (Santos et al., 2007).
  2. In an article assessing the effects of depleted uranium on human kidney cells, mitochondrial membrane potential was increased significantly by only 3.9-fold when cells were treated with 500 μM for 24 hours (Hao et al., 2014). However, under the same conditions, cytotoxicity was elevated 6.5-fold. (Hao et al., 2014).
  3. A study assessing depleted uranium treatment on human embryonic kidney cells also found that only a 3.6-fold increase in membrane potential occurred for cells treated with depleted uranium, while a 5.6-fold increase was seen in cell death compared to the control (Hao et al., 2016).
  4. Another article investigated the effects of treatment with various heavy metal nanoparticles and micrometer particles on an alveolar type-II epithelial cell line. In addition, copper oxide nanoparticles and micrometer particles both showed 27.1-fold and 12.1-fold increases in mitochondrial depolarization while cytotoxicity was increased by 56.4-fold and 18.2-fold, respectively (Karlsson et al., 2009).

Known modulating factors

This table captures specific information on the MF, its properties, how it affects the KER and respective references.1.) What is the modulating factor? Name the factor for which solid evidence exists that it influences this KER. Examples: age, sex, genotype, diet 2.) Details of this modulating factor. Specify which features of this MF are relevant for this KER. Examples: a specific age range or a specific biological age (defined by...); a specific gene mutation or variant, a specific nutrient (deficit or surplus); a sex-specific homone; a certain threshold value (e.g. serum levels of a chemical above...) 3.) Description of how this modulating factor affects this KER. Describe the provable modification of the KER (also quantitatively, if known). Examples: increase or decrease of the magnitude of effect (by a factor of...); change of the time-course of the effect (onset delay by...); alteration of the probability of the effect; increase or decrease of the sensitivity of the downstream effect (by a factor of...) 4.) Provision of supporting scientific evidence for an effect of this MF on this KER. Give a list of references.  More help

There are several known modulating factors that affect the relationship between mitochondrial dysfunction and cell death. One known modulating factor of this variation is mitochondrial biogenesis (Jornayvaz and Shulman, 2010). Mitochondrial biogenesis is the ratio of growth, division, and recycling of existing mitochondria in the cell. Mitochondrial biogenesis itself is influenced by a variety of factors such as exercise levels, cell division, low temperature, caloric restriction, and as is discussed in this AOP, oxidative stress . As a result of changes in these factors, the mitochondrial content, as well as sizes and masses of each of the organelles, is altered . For example, it is generally accepted that increased exercise in an organism increases mitochondrial content and functioning, as there is an increased energy need in those organisms . Therefore, an organism with increased exercise habits would have a less steep slope in the relationship between mitochondrial dysfunction and cell death, as the mitochondrial dysfunction would not be able cause cell death as quickly, since mitochondrial content would be higher requiring a longer time period to accumulate sufficiently to induce apoptosis . This would allow the cell to undergo mitophagy of the injured mitochondria while still continuing to produce adequate energy to keep the cell alive . Similarly, if a cell had just divided, it would be less prepared and capable of dealing with mitochondrial dysfunction, which would allow it to accumulate much faster and would therefore increase the slope between mitochondrial dysfunction and cell death (Jornayvaz and Shulman, 2010).

Some diseases are also known to modulate this relationship, such as early aging and diabetes (Pizzorno, 2014). These diseases increase the slope of the relationship between mitochondrial dysfunction leading to oxidative stress due to the fact that they induce faster accumulation of mitochondrial dysfunction via increased levels of oxidative stress and faster accumulation of mitochondrial DNA damage leading to earlier mitochondrial dysfunction (Nissanka and Moraes, 2018; Zelenka, Dvorak, and Alan, 2015; Wei et al., 2015; Kudryavtseva et al., 2016; Forbes and Thorburn, 2018; Schiffer and Friederich-Persson, 2017).

Domain of Applicability

A free-text section of the KER description that the developers can use to explain their rationale for the taxonomic, life stage, or sex applicability structured terms. More help

The domain of applicability only includes vertebrates, as invertebrates and non-animals do not have kidneys (Mahasen, 2016).